{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "主目录为：/Users/johnjim/Desktop/machine-learning-toy-code\n"
     ]
    }
   ],
   "source": [
    "# 添加目录到系统路径方便导入模块，该项目的根目录为\".../machine-learning-toy-code\"\n",
    "import sys\n",
    "from pathlib import Path\n",
    "curr_path = str(Path().absolute())\n",
    "parent_path = str(Path().absolute().parent)\n",
    "p_parent_path = str(Path().absolute().parent.parent)\n",
    "sys.path.append(p_parent_path) \n",
    "print(f\"主目录为：{p_parent_path}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 下面为sci-kit版本"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(60000, 784)\n",
      "(60000,)\n",
      "(10000, 784)\n",
      "(10000,)\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn.datasets import fetch_openml\n",
    "\n",
    "# 数据\n",
    "mnist = fetch_openml('mnist_784')\n",
    "X, y = mnist['data'], mnist['target']\n",
    "X_train = np.array(X[:60000], dtype=float)\n",
    "y_train = np.array(y[:60000], dtype=float)\n",
    "X_test = np.array(X[60000:], dtype=float)\n",
    "y_test = np.array(y[60000:], dtype=float)\n",
    "\n",
    "print(X_train.shape)\n",
    "print(y_train.shape)\n",
    "print(X_test.shape)\n",
    "print(y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test score with L1 penalty: 0.9248\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "\n",
    "clf = LogisticRegression(penalty=\"l1\", solver=\"saga\", tol=0.1)\n",
    "clf.fit(X_train, y_train)\n",
    "score = clf.score(X_test, y_test)\n",
    "print(\"Test score with L1 penalty: %.4f\" % score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 下面为pytorch版本"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torch.utils.data import DataLoader\n",
    "from torchvision import datasets\n",
    "import torchvision\n",
    "import torchvision.transforms as transforms\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import classification_report\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([100, 1, 28, 28])\n",
      "tensor([[2, 3, 2, 8, 9, 7, 1, 9, 0, 0],\n",
      "        [3, 4, 0, 1, 2, 1, 1, 1, 7, 2],\n",
      "        [8, 4, 3, 6, 0, 1, 0, 8, 0, 6],\n",
      "        [9, 1, 8, 2, 3, 4, 5, 8, 4, 5],\n",
      "        [2, 8, 2, 4, 9, 7, 8, 1, 2, 3],\n",
      "        [5, 6, 9, 4, 2, 7, 6, 0, 8, 1],\n",
      "        [6, 7, 5, 2, 6, 8, 2, 0, 8, 1],\n",
      "        [1, 8, 4, 1, 8, 0, 6, 4, 0, 4],\n",
      "        [4, 4, 2, 2, 0, 4, 7, 1, 0, 3],\n",
      "        [3, 7, 2, 2, 1, 8, 1, 1, 9, 5]])\n",
      "(302, 302, 3)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_dataset = datasets.MNIST(root = p_parent_path+'/datasets/', train = True,transform = transforms.ToTensor(), download = False)\n",
    "test_dataset = datasets.MNIST(root = p_parent_path+'/datasets/', train = False, \n",
    "                               transform = transforms.ToTensor(), download = False)\n",
    "\n",
    "batch_size = len(train_dataset)\n",
    "train_loader = DataLoader(dataset=train_dataset, batch_size=batch_size, shuffle=True)\n",
    "test_loader = DataLoader(dataset=test_dataset, batch_size=batch_size, shuffle=True)\n",
    "X_train,y_train = next(iter(train_loader))\n",
    "X_test,y_test = next(iter(test_loader))\n",
    "# 打印前100张图片\n",
    "images, labels= X_train[:100], y_train[:100] \n",
    "# 使用images生成宽度为10张图的网格大小\n",
    "img = torchvision.utils.make_grid(images, nrow=10)\n",
    "# cv2.imshow()的格式是(size1,size1,channels),而img的格式是(channels,size1,size1),\n",
    "# 所以需要使用.transpose()转换，将颜色通道数放至第三维\n",
    "img = img.numpy().transpose(1,2,0)\n",
    "print(images.shape)\n",
    "print(labels.reshape(10,10))\n",
    "print(img.shape)\n",
    "plt.imshow(img)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train,y_train = X_train.cpu().numpy(),y_train.cpu().numpy() # tensor转为array形式)\n",
    "X_test,y_test = X_test.cpu().numpy(),y_test.cpu().numpy() # tensor转为array形式)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = X_train.reshape(X_train.shape[0],784)\n",
    "X_test = X_test.reshape(X_test.shape[0],784)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.50      0.75      0.60         4\n",
      "           1       0.71      1.00      0.83        10\n",
      "           2       0.79      0.85      0.81        13\n",
      "           3       0.79      0.69      0.73        16\n",
      "           4       0.83      0.91      0.87        11\n",
      "           5       0.60      0.23      0.33        13\n",
      "           6       1.00      1.00      1.00         5\n",
      "           7       0.88      1.00      0.93         7\n",
      "           8       0.67      0.83      0.74        12\n",
      "           9       0.71      0.56      0.63         9\n",
      "\n",
      "    accuracy                           0.75       100\n",
      "   macro avg       0.75      0.78      0.75       100\n",
      "weighted avg       0.74      0.75      0.73       100\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# solver：即使用的优化器，lbfgs：拟牛顿法， sag：随机梯度下降\n",
    "model = LogisticRegression(solver='lbfgs', max_iter=400) # lbfgs：拟牛顿法\n",
    "model.fit(X_train, y_train)\n",
    "y_pred = model.predict(X_test)\n",
    "print(classification_report(y_test, y_pred)) # 打印报告"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "ones_col=[[1] for i in range(len(X_train))] # 生成全为1的二维嵌套列表，即[[1],[1],...,[1]]\n",
    "X_train = np.append(X_train,ones_col,axis=1)\n",
    "x_train = np.mat(X_train)\n",
    "X_test = np.append(X_test,ones_col,axis=1)\n",
    "x_test = np.mat(X_test)\n",
    "# Mnsit有0-9十个标记，由于是二分类任务，所以可以将标记0的作为1，其余为0用于识别是否为0的任务\n",
    "y_train=np.array([1 if y_train[i]==1 else 0 for i in range(len(y_train))])\n",
    "y_test=np.array([1 if y_test[i]==1 else 0 for i in range(len(y_test))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       1.00      0.98      0.99        90\n",
      "           1       0.83      1.00      0.91        10\n",
      "\n",
      "    accuracy                           0.98       100\n",
      "   macro avg       0.92      0.99      0.95       100\n",
      "weighted avg       0.98      0.98      0.98       100\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# solver：即使用的优化器，lbfgs：拟牛顿法， sag：随机梯度下降\n",
    "model = LogisticRegression(solver='lbfgs', max_iter=100) # lbfgs：拟牛顿法\n",
    "model.fit(X_train, y_train)\n",
    "y_pred = model.predict(X_test)\n",
    "print(classification_report(y_test, y_pred)) # 打印报告"
   ]
  }
 ],
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